Senior Data Analyst
Role Overview
Senior Data Analyst in Rogers' Wireless Service & Equipment Finance team, providing data management and value-added analysis on Wireless Revenue.
The role creates and maintains Tableau dashboards, master data files, and analyses of service and equipment revenue and usage KPIs.
The analyst works with Finance and business teams to turn data into clear insights and recommendations.
Key Skills for This Role
Full Job Posting
Role overview
Senior Data Analyst in Rogers' Wireless Service & Equipment Finance team, providing data management and value-added analysis on Wireless Revenue.
The role creates and maintains Tableau dashboards, master data files, and analyses of service and equipment revenue and usage KPIs.
The analyst works with Finance and business teams to turn data into clear insights and recommendations.
Key responsibilities
- Design, develop, enhance, and maintain Tableau and/or Power BI dashboards for reporting and performance management.
- Develop master datasets and reporting data layers using Databricks, SQL, and Python, integrating and validating multiple data sources.
- Automate weekly and monthly scorecards, dashboards, and management reports.
- Analyze wireless subscriber, revenue, equipment, usage, and other financial or business KPIs.
- Build and optimize data models, SQL queries, and Databricks workflows for data extraction and transformation.
- Automate data preparation, validation, reconciliation, and reporting processes.
- Investigate data discrepancies and quality issues and work with teams to resolve root causes.
- Support Finance, Pricing, Commercial Strategy, Marketing, and Sales with datasets, insights, and ad hoc reporting.
- Support business cases, forecasting, performance measurement, and analytical requests; define data requirements and business rules.
- Partner with Data, Technology, and IT teams to identify source systems and understand data dependencies.
- Present findings and actionable recommendations to Finance and business stakeholders.
Qualifications
- At least 3 years of data analytics or business intelligence experience; telecommunications experience is ideal.
- Advanced Databricks and SQL skills with large, complex datasets.
- Strong Python and/or PySpark programming and data manipulation experience.
- Advanced Tableau dashboard development; Power BI experience is an asset.
- Knowledge of data modeling, transformation, quality, architecture, and management.
- Experience with master datasets, reusable reporting sources, and automated or scalable reporting solutions.
- Strong Excel skills, including large datasets and financial analysis.
- Experience with statistical, trend, variance, testing, and performance analysis.
- University degree in Computer Science, Mathematics, or a related field.
- Insight-driven, adaptable, collaborative, customer-focused, and able to work in a fast-paced environment.
Employee resources
- Rogers describes access to resources, growth opportunities, discounts, and perks; the provided description ends before listing them.
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